ArticleSmall (Weinheim an der Bergstrasse, Germany)2026
Scale-Specific Viscoelastic Characterization of Hydrogels: Integrated AFM and Finite Element Modeling.
Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- From Smart Hydrogel Design to 4D-Printed Scaffolds: Emerging Paradigms in Precision Drug Delivery and Regenerative Wound Therapy.Gels (Basel, Switzerland) · 2026Review
- Scale-Specific Viscoelastic Characterization of Hydrogels: Integrated AFM and Finite Element Modeling.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Viscoelastic hydrogels mimic the dynamic mechanical properties of native extracellular matrices, making them essential for biomedical applications. However, characterizing their scale-dependent mechanical properties remains challenging, despite their critical influence on cell-material interactions and biomaterial performance. Here, an integrated experimental-computational approach is presented to quantify and model the viscoelastic behavior of interpenetrating polymer network hydrogels across micro- and macro-scales. Atomic force microscopy-based stress relaxation tests revealed that microgels exhibit rapid, localized relaxation, while macroscopic bulk gels displayed prolonged relaxation dominated by poroelastic effects. Finite element simulations accurately replicated experimental conditions, enabling the extraction of key parameters: fully relaxed elastic modulus, relaxation modulus, and relaxation time constant. A novel analytical model is further developed to predict viscoelastic parameters from experimental data with minimal error (<6%), significantly streamlining characterization. The findings highlight the necessity of scale-specific mechanical analysis and provide a robust platform for designing biomaterials with tailored viscoelasticity for tissue engineering and regenerative medicine.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.